Jürgen Schmidhuber, Ph.D.

Affiliations: 
1995- Istituto Dalle Molle di Studi sull'Intelligenza Artificiale 
Area:
Artificial Intelligence
Website:
http://people.idsia.ch/~juergen/
Google:
"Jürgen Schmidhuber"
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Publications

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Gopalakrishnan A, Irie K, Schmidhuber J, et al. (2023) Unsupervised Learning of Temporal Abstractions With Slot-Based Transformers. Neural Computation. 35: 593-626
Rauber P, Ummadisingu A, Mutz F, et al. (2021) Reinforcement Learning in Sparse-Reward Environments With Hindsight Policy Gradients. Neural Computation. 33: 1498-1553
van Steenkiste S, Kurach K, Schmidhuber J, et al. (2020) Investigating object compositionality in Generative Adversarial Networks. Neural Networks : the Official Journal of the International Neural Network Society. 130: 309-325
Schmidhuber J. (2020) Generative Adversarial Networks are special cases of Artificial Curiosity (1990) and also closely related to Predictability Minimization (1991). Neural Networks : the Official Journal of the International Neural Network Society. 127: 58-66
Greff K, Srivastava RK, Koutnik J, et al. (2016) LSTM: A Search Space Odyssey. Ieee Transactions On Neural Networks and Learning Systems
Kompella VR, Luciw M, Stollenga MF, et al. (2016) Optimal Curiosity-Driven Modular Incremental Slow Feature Analysis. Neural Computation. 1-64
Arganda-Carreras I, Turaga SC, Berger DR, et al. (2015) Crowdsourcing the creation of image segmentation algorithms for connectomics. Frontiers in Neuroanatomy. 9: 142
Schmidhuber J. (2015) Deep learning in neural networks: an overview. Neural Networks : the Official Journal of the International Neural Network Society. 61: 85-117
Kompella VR, Stollenga M, Luciw M, et al. (2015) Continual curiosity-driven skill acquisition from high-dimensional video inputs for humanoid robots Artificial Intelligence
Masci J, Bronstein MM, Bronstein AM, et al. (2014) Multimodal Similarity-Preserving Hashing. Ieee Transactions On Pattern Analysis and Machine Intelligence. 36: 824-30
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